How Level and Field of Education affect salary, Gender disparities in fields

Introduction

Our domain of interest is about education, more specifically how level and field of education affect salary and the gender disparities between different fields. Our data set was imported from fivethirtyeight which based its data from the United States Census. The data set contains information pertaining to the salary, employment, and gender data of different majors and levels of education.

Summary Paragraph

There were a total of 5 datasets provided from our source. all-ages.csv, grad-students.csv, recent-grads.csv, majors-list.csv, and women-stem.csv. The recent-grads dataset contains all information from individuals <28, while grad-students contains all information from individuals ages 25+. Most of the data parsed was from the all-ages dataset. From the data analysis we can conclude that the field with the highest unemployment rate is Arts while the field with the lowest unemployment rate is Agriculture & Natural Resources. In addition, the field with the highest median salary is Engineering, while the field with the lowest median salary is Interdisciplinary. When comparing the median salary of students who had gone to grad school versus students who had not gone to grad school, the average difference was, $17651.78.

Summary Table

Major Category Average Median Salary Average 25th Percentile Salary Average 75th Percentile Salary
Engineering 77759 52459 108534
Computers & Mathematics 66273 43427 95818
Physical Sciences 62400 39670 92000
Business 60615 41854 91462
Health 56458 40067 77500
Agriculture & Natural Resources 55000 36550 81300
Social Science 53222 37144 81222
Law & Public Policy 52800 36200 78800
Industrial Arts & Consumer Services 52643 35064 76857
Biology & Life Science 50821 33214 78771
Communications & Journalism 49500 34000 76250
Humanities & Liberal Arts 46080 31413 70933
Psychology & Social Work 44556 31011 64333
Education 43831 33222 58456
Arts 43525 29112 64500
Interdisciplinary 43000 32000 55000

Charts

Pie Chart

## [1] "this chart was intended to display the proportion of women in different the major categories of STEM"

Bar Plot

## [1] "The graph below arranges the different majors in categories and then calculates their average salary. It shows their wages from the hoghest to the lowest average pay"

Scatter Plot

## [1] "This chart was intended to visualize the difference between employeed students and unemployeed by majors. The radius of each dot is a representation of their salaries."